SeriesStatsExtensions

Namespace: Deedle

The type implements C# and F# extension methods that add numerical operations to Deedle series. With a few exceptions, the methods are only available for series containing floating-point values, that is Series<'K, float>.

Calculations, aggregation and statistics
Statistics
Other type members

Calculations, aggregation and statistics

Static members

Static member Description

Static member	Description
`InterpolateLinear(series, keys, keyDiff)` Signature: (series:Series<'K,float> * keys:seq<'K> * keyDiff:Func<'K,'K,float>) -> Series<'K,float> Type parameters: 'K	Linearly interpolates an ordered series given a new sequence of keys. Parameters `keys` - Sequence of new keys that forms the index of interpolated results `keyDiff` - A function representing "subtraction" between two keys


            InterpolateLinear(series, keys, keyDiff)

Signature: (series:Series<'K,float> * keys:seq<'K> * keyDiff:Func<'K,'K,float>) -> Series<'K,float>
Type parameters: 'K

Linearly interpolates an ordered series given a new sequence of keys.

Parameters

keys - Sequence of new keys that forms the index of interpolated results
keyDiff - A function representing "subtraction" between two keys

Statistics

Static members

Static member	Description
`Kurtosis(series)` Signature: series:Series<'K,float> -> float Type parameters: 'K	Returns the kurtosis of the elements of the series.
`Max(series)` Signature: series:Series<'K,'V> -> 'V Type parameters: 'K, 'V	Returns the greatest of all elements of the series.
`MaxLevel(series, groupSelector)` Signature: (series:Series<'K1,'V> * groupSelector:Func<'K1,'K2>) -> Series<'K2,'V> Type parameters: 'K1, 'V, 'K2	Groups the elements of the input series in groups based on the keys produced by `groupSelector` and then returns a new series containing the greatest element of each group. This operation is designed to be used with hierarchical indexing. Parameters `series` - A series of values that are used to calculate the greatest elements `groupSelector` - A delegate that returns a new group key, based on the key in the input series
`Mean(series)` Signature: series:Series<'K,float> -> float Type parameters: 'K	Returns the mean of the elements of the series.
`MeanLevel(series, groupSelector)` Signature: (series:Series<'K1,float> * groupSelector:Func<'K1,'K2>) -> Series<'K2,float> Type parameters: 'K1, 'K2	Groups the elements of the input series in groups based on the keys produced by `groupSelector` and then returns a new series containing the mean of each group. This operation is designed to be used with hierarchical indexing. Parameters `series` - A series of values that are used to calculate the means `groupSelector` - A delegate that returns a new group key, based on the key in the input series
`Median(series)` Signature: series:Series<'K,float> -> float Type parameters: 'K	Returns the median of the elements of the series.
`MedianLevel(series, groupSelector)` Signature: (series:Series<'K1,float> * groupSelector:Func<'K1,'K2>) -> Series<'K2,float> Type parameters: 'K1, 'K2	Groups the elements of the input series in groups based on the keys produced by `groupSelector` and then returns a new series containing the median of each group. This operation is designed to be used with hierarchical indexing. Parameters `series` - A series of values that are used to calculate the medians `groupSelector` - A delegate that returns a new group key, based on the key in the input series
`Min(series)` Signature: series:Series<'K,'V> -> 'V Type parameters: 'K, 'V	Returns the smallest of all elements of the series.
`MinLevel(series, groupSelector)` Signature: (series:Series<'K1,'V> * groupSelector:Func<'K1,'K2>) -> Series<'K2,'V> Type parameters: 'K1, 'V, 'K2	Groups the elements of the input series in groups based on the keys produced by `groupSelector` and then returns a new series containing the smallest element of each group. This operation is designed to be used with hierarchical indexing. Parameters `series` - A series of values that are used to calculate the smallest elements `groupSelector` - A delegate that returns a new group key, based on the key in the input series
`NumSum(series)` Signature: series:Series<'K,^V> -> ^V Type parameters: 'K, ^V	Returns the sum of the elements of the series of numeric values.
`Skewness(series)` Signature: series:Series<'K,float> -> float Type parameters: 'K	Returns the skewness of the elements of the series.
`StdDev(series)` Signature: series:Series<'K,float> -> float Type parameters: 'K	Returns the standard deviation of the elements of the series.
`StdDevLevel(series, groupSelector)` Signature: (series:Series<'K1,float> * groupSelector:Func<'K1,'K2>) -> Series<'K2,float> Type parameters: 'K1, 'K2	Groups the elements of the input series in groups based on the keys produced by `groupSelector` and then returns a new series containing the standard deviation of each group. This operation is designed to be used with hierarchical indexing. Parameters `series` - A series of values that are used to calculate the standard deviations `groupSelector` - A delegate that returns a new group key, based on the key in the input series
`Sum(series)` Signature: series:Series<'K,float> -> float Type parameters: 'K	Returns the sum of the elements of the series of float values.
`SumLevel(series, groupSelector)` Signature: (series:Series<'K1,float> * groupSelector:Func<'K1,'K2>) -> Series<'K2,float> Type parameters: 'K1, 'K2	Groups the elements of the input series in groups based on the keys produced by `groupSelector` and then returns a new series containing the sum of each group. This operation is designed to be used with hierarchical indexing. Parameters `series` - A series of values that are used to calculate the sums `groupSelector` - A delegate that returns a new group key, based on the key in the input series

Other type members

Static members

Static member	Description
`StandardDeviation(series)` Signature: series:Series<'K,float> -> float Type parameters: 'K

Deedle

SeriesStatsExtensions

Table of contents

Calculations, aggregation and statistics

Static members

Parameters

Statistics

Static members

Parameters

Parameters

Parameters

Parameters

Parameters

Parameters

Other type members

Static members